| Paper Abstract and Keywords |
| Presentation |
2023-03-06 14:14
Investigation of efficient prompt engineering for video retrieval
Kazuya Suzuki, Akihiro Chiba, Kazuya Ueki (Meisei Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, Vision and Language technologies have been developed. In addition, the field of video retrieval has been developing along with it. In this study, we examined the accuracy of using Vision and Language techniques for video retrieval by changing the input query sentences. We conduct two types of validation: validation 1 "Adding a phrase at the beginning of a query sentence" and validation 2 "Adding an important word in a query sentence at the end or the beginning of a sentence". As a result, validation 2 "Adding important words in the query sentence to the end or the beginning of the sentence," was effective. "Adding the important words at the end of the sentence" improved the accuracy in many patterns. The result of validation 1 "Appending a phrase to the beginning of a query sentence" varied depending on the phrase. The phrases that improved accuracy were particularly effective for CLIP and SLIP. When two query sentences and a promptengineered sentence were used in the search, accuracy was improved in more query sentences, although the number of cases where accuracy was greatly improved was reduced. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Vision and Language / Prompt Engineering / Video retrieval / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 47, pp. 103-106, March 2023. |
| Paper # |
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| Date of Issue |
2023-02-27 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2023-03-06 - 2023-03-06 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tokyo Polytechnic Univ. (Nakano) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2023 |
| Paper Information |
| Registration To |
IIEEJ |
| Conference Code |
2023-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Investigation of efficient prompt engineering for video retrieval |
| Sub Title (in English) |
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| Keyword(1) |
Vision and Language |
| Keyword(2) |
Prompt Engineering |
| Keyword(3) |
Video retrieval |
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| 1st Author's Name |
Kazuya Suzuki |
| 1st Author's Affiliation |
Meisei University (Meisei Univ.) |
| 2nd Author's Name |
Akihiro Chiba |
| 2nd Author's Affiliation |
Meisei University (Meisei Univ.) |
| 3rd Author's Name |
Kazuya Ueki |
| 3rd Author's Affiliation |
Meisei University (Meisei Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-06 14:14:00 |
| Presentation Time |
12 minutes |
| Registration for |
IIEEJ |
| Paper # |
AIT2023-63 |
| Volume (vol) |
vol.47 |
| Number (no) |
no.9 |
| Page |
pp.103-106 |
| #Pages |
4 |
| Date of Issue |
2023-02-27 (AIT) |